Zafar Iqbal

Title: Zafar Iqbal: Innovator in Image Processing Technologies

Introduction

Zafar Iqbal is a notable inventor based in Hayward, CA (US). He has made significant contributions to the field of image processing and deep learning technologies. With a total of 3 patents to his name, Iqbal continues to push the boundaries of innovation in his field.

Latest Patents

One of Zafar Iqbal's latest patents is titled "Distance determination from image data." This invention involves a computer system that includes a processor and memory. The memory stores instructions that allow the processor to receive an image frame from a camera, generate a feature map, create a depth map, classify objects in the image frame, and estimate distances to those objects based on the depth map and input data.

Another significant patent is "Systems and methods for detecting deep neural network inference quality using image/data manipulation without ground truth information." This patent focuses on determining the inference quality of a deep neural network (DNN) without requiring ground truth information. It is particularly useful for driver-assisted vehicles and involves receiving an image frame, applying a normal inference DNN model, and comparing bounding boxes to assess inference quality.

Career Highlights

Zafar Iqbal is currently employed at Ford Global Technologies, LLC, where he applies his expertise in image processing and deep learning. His work contributes to advancements in automotive technologies and driver assistance systems.

Collaborations

Zafar collaborates with talented coworkers, including Hitha Revalla and Apurbaa Mallik. Their combined efforts foster innovation and enhance the development of cutting-edge technologies.

Conclusion

Zafar Iqbal is a prominent inventor whose work in image processing and deep learning continues to impact the automotive industry. His patents reflect his commitment to advancing technology and improving driver-assisted systems.